Unsupervised Video Summarization On Tvsum
评估指标
F1-score
Parameters (M)
training time (s)
评测结果
各个模型在此基准测试上的表现结果
模型名称 | F1-score | Parameters (M) | training time (s) | Paper Title | Repository |
|---|---|---|---|---|---|
| SUM-GAN-sl | 58.4 | 23.31 | 3895 | A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization | |
| SegSum | 62 | 5.25 | - | Integrate the temporal scheme for unsupervised video summarization via attention mechanism | |
| Cycle-SUM | 57.6 | - | - | Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization | - |
| DR-DSN | 57.6 | 2.63 | 58.8 | Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward | - |
| AC-SUM-GAN | 60.6 | 26.75 | 9380 | AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization | |
| SUM-GAN-AAE | 58.3 | 24.31 | 5423 | Unsupervised Video Summarization via Attention-Driven Adversarial Learning | |
| RS-SUM | 61.4 | - | - | Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score. | |
| CSNet | 58.8 | 100.76 | 1797 | Discriminative Feature Learning for Unsupervised Video Summarization | - |
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